Python Based Smart Hotel Data Analysis

Computer Engineering

Hotel industry is very important industry who generate huge revenue not only because of their good services but also effective use of its data analytics. It can change its customer base dramatically high by analyzing how business is run. It is another data rich industry that captures huge volumes of different types of data. However, for most hoteliers data remains an underused and under-appreciated asset. With analytical exploitation of their data, hoteliers can go beyond their traditional loyalty programs and deepen their knowledge of guests in order to develop a more granular understanding of segment behavior, needs, and expectations; identify profitable customer segments and their buying preferences; and identify opportunities to attract new guests. Predictive analytics, like forecasting and optimization, can help you figure out why things are happening, show you what will happen next, or even lead you to the best alternative action considering all of your operating constraints. Hoteliers are starting to use more and more predictive analytics to move from reactive to proactive decision making, which would enable them to stay one step ahead of trends, set strategy and achieve goals. They gain advantage over the competition, increase value to shareholders, and continue to surprise and delight their guests.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.